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Deep Learning on Windows Building Deep Learning Computer Vision Systems on Microsoft Windows

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Deep Learning on Windows Building Deep Learning Computer Vision Systems on Microsoft Windows

Deep Learning on Windows Building Deep Learning Computer Vision Systems on Microsoft Windows (sách keo gáy bìa mềm)
 
Categories:Computers - Programming
 
Year:2021
 
Edition:1st ed.
 
Publisher:Apress
 
Language:english
 
Pages:345
 
Build deep learning and computer vision systems using Python,
TensorFlow, Keras, OpenCV, and more, right within the familiar
environment of Microsoft Windows. The book starts with an introduction
to tools for deep learning and computer vision tasks followed by
instructions to install, configure, and troubleshoot them. Here, you
will learn how Python can help you build deep learning models on
Windows.
 
Moving forward, you will build a deep learning model and
understand the internal-workings of a convolutional neural network on
Windows. Further, you will go through different ways to visualize the
internal-workings of deep learning models along with an understanding of
transfer learning where you will learn how to build model architecture
and use data augmentations. Next, you will manage and train deep
learning models on Windows before deploying your application as a web
application. You’ll also do some simple image processing and work with
computer vision options that will help you build various applications
with deep learning. Finally, you will use generative adversarial
networks along with reinforcement learning.
 
After reading Deep Learning on Windows, you will be able to design deep learning models and web applications on the Windows operating system.
 
What You Will Learn
 
Understand the basics of Deep Learning and its history
Get Deep Learning tools working on Microsoft Windows
 
Understand
the internal-workings of Deep Learning models by using model
visualization techniques, such as the built-in plot_model function of
Keras and third-party visualization tools
Understand Transfer Learning and how to utilize it to tackle small datasets
Build robust training scripts to handle long-running training jobs
Convert your Deep Learning model into a web application
Generate handwritten digits and human faces with DCGAN (Deep Convolutional Generative Adversarial Network)
Understand the basics of Reinforcement Learning
Who This Book Is For
 
AI developers and enthusiasts wanting to work on the Windows platform.
 

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